PosterPDF Available

Mentors’ impact on majoring in STEM for students with or without a parent in a STEM field

Authors:

Abstract

Growing up with a parent working in a STEM field and having a STEM mentor enhance the likelihood of completing a university STEM degree (Almarode et al., 2014; Subotnik, Tai, Almarode, & Crowe, 2013). The current study explores whether mentors serve an outsized role for retaining students who do not have a parent in STEM, and which categories of mentors (e.g., parents, teachers, or researchers) are most influential. Preliminary analyses of data from a National Science Foundation–sponsored survey of selective public science, mathematics, and technology high school graduates in the United States indicate that the impact of mentors on students’ later majoring in STEM is even greater for students who did not have a STEM parent, compared with students who did. The study relates to the conference theme by examining the influence of mentors for a specific group—students of science, mathematics, and technology high schools. As students attending such high schools often come from STEM-friendly home environments and show greater STEM interests and abilities than students attending non-specialized high schools, the finding indicates that providing more mentoring support can be especially important for bright and interested students without a parent employed in a STEM field. Identifying strategies used by mentors to replicate the attitudes, experiences, and values inculcated in homes with STEM professionals will also benefit students beyond those found in selective STEM high schools. The finding and its implications are relevant for policymakers, STEM educators, and mentors.
Mentors’ Impact on Majoring in STEM for Students
With or Without a Parent in a STEM Field
Linlin Luo1, Rena Subotnik2, and Heidrun Stoeger1
1University of Regensburg, Germany, 2American Psychological Association
Growing up with a parent working in a STEM field and
having a STEM mentor enhance the likelihood of
completing a university STEM degree
Students who had a parent in a STEM-related career
were 40% more likely to earn a STEM undergraduate
degree
Students who had a STEM mentor had higher STEM
achievement and were more likely to choose a STEM
career
But what about mentors influence in relation to the
presence or absence of a STEM parent?
Perspective 1 (additive effect): Mentor provides a
unique contribution independent of student having a
STEM parent or not
Perspective 2 (compensatory support): Mentor is
only beneficial for students without a STEM parent
Perspective 3 (accumulative advantage): Mentor is
more beneficial for students with STEM parents than
those without STEM parents
Research findings are mixed regarding the effect of
mentors in relation to other forms of social support
BACKGROUND
PURPOSE
Sample
A large dataset from a survey of selected public SMT (science,
mathematics, and technology) high school graduates in the US
Outcome variable
Whether students completed an undergraduate STEM degree (binary)
Research Question 1
Three predictor variables (binary) are drawn from the question: “Who was
responsible for your career choice?”
parents
mentors
self
Analysis: Two separate logistic regression analyses for students with and
without a STEM-career parent
Research Question 2
Different categories of mentors are drawn from the question: “Who served
as students’ mentor in high school?”
Analysis: A chi-square analysis to compare whether students with and
without a STEM-career parent identified different categories of mentors
DISCUSSION
METHODS
Explore how the effect of mentors might differ for students
with and without a STEM-career parent
Research Question 1:
Are mentors more important for STEM retention for
students without STEM-career parents?
Research Question 2:
Who serves as mentor for students who reported having
had a mentor in high school and eventually completed an
undergraduate STEM degree?
Almarode, J. T., Subotnik, R. F., Crowe, E., Tai, R. H., Lee, G. M., & Nowlin, F. (2014).
Specialized high schools and talent search programs: Incubators for adolescents with
high ability in STEM disciplines. Journal of Advanced Academics, 25(3), 307331.
https://doi.org/10.1177/1932202X14536566
Barrera, M., & Bonds, D. D. (2005). Mentoring relationships and social support. In D. L.
DuBois & M. J. Karcher (Eds.), Handbook of youth mentoring (pp. 133142).
Thousand Oaks, California: SAGE Publications.
Larose, S., Boisclair-Châteauvert, G., De Wit, D. J., DuBois, D., Erdem, G., & Lipman, E.
L, (2018). How mentor support interacts with mother and teacher support in predicting
youth academic adjustment: An investigation among youth exposed to Big Brothers Big
Sisters of Canada programs. Journal of Primary Prevention, 39, 205-228.
https://doi.org/10.1007/s10935-018-0509-8
Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory
of career and academic interest, choice, and performance. Journal of Vocational
Behavior, 45(1), 79122. https://doi.org/10.1006/jvbe.1994.1027
Rhodes, J. E. (2005). A model of youth mentoring. In D. L. DuBois & M. J. Karcher (Eds.),
Handbook of youth mentoring (pp. 3043). Thousand Oaks, California: SAGE
Publications.
Stoeger, H., Duan, X., Schirner, S., Greindl, T., & Ziegler, A. (2013). The effectiveness of a
one-year online mentoring program for girls in STEM. Computers & Education, 69,
408418. https://doi.org/10.1016/j.compedu.2013.07.032
Stout, J. G., Dasgupta, N., Hunsinger, M., & McManus, M. A. (2011). STEMing the tide:
Using ingroup experts to inoculate women’s self-concept in science, technology,
engineering, and mathematics (STEM). Journal of Personality and Social Psychology,
100(2), 255270. https://doi.org/10.1037/a0021385
Subotnik, R. F., Tai, R. H., Almarode, J., & Crowe, E. (2013). What are the value-added
contributions of selective secondary schools of mathematics, science and technology?
Preliminary analyses from a U.S. national research study. Talent Development &
Excellence, 5, 8797.
The impact of mentors on students’ later completing a
STEM major is greater for students without a STEM-
career parent than for students with a STEM-career
parent
The findings supported the compensatory perspective
of mentor support
Limitation
a highly selected group
simplistic survey answers (binary data)
STEM parent might:
spark child’s initial
STEM interest
nurture child’s STEM
interest through formal
(e.g., enroll students in
STEM programs) and
informal support (e.g.,
trips to museums)
STEM mentor might:
validate mentee’s
STEM aspirations
share STEM
knowledge
serve as a role model
provide opportunities
for mentee to explore
STEM
RESULTS
Research Question 1
Students with a STEM-career parent: the parent was responsible for helping
them choose a STEM major; the influence of mentor was not significant.
Students without a STEM-career parent: the parental influence was not
significant for their STEM-major choices, but their mentor and their own
career exploration influenced choosing a STEM major.
Research Question 2
With a STEM-
career
parent
Without a STEM
-
career
parent
Who’s responsible for
STEM major choices
Odds ratio
pvalue
Odds ratio
pvalue
Parent 1.5
< .001
0.9 .930
Mentor 1.2 .108 1.6 .001
Self 1.2 .114 1.4 .007
With a STEM-
career parent
Without a STEM-
career parent
Significance test
pvalue
Parent 48.8% 34.3% < .001
53.4% 50.8% .262
Both 34.0% 25.1% < .001
CONCLUSION
Policymakers, STEM educators, and mentors may
consider to provide more mentoring support for those
bright and interested students in particular who lack a
STEM-career parent
Future research directions include identifying strategies
used by mentors to replicate attitudes, experiences, and
values inculcated in homes with STEM professionals
that can benefit students beyond those found in selective
SMT high schools
References
Article
Full-text available
Mentoring has experienced a tremendous upswing over the past decades, which has only recently slowed down somewhat. One possible factor explaining mentoring's popularity are numerous case studies suggesting that it is one of the most effective ways of helping individuals to develop. Meta‐analyses indicating effect sizes for mentoring that are below what would theoretically be possible appear to contradict the success stories, however. This circumstance raises questions about the professionalization of mentoring practices. We focus on seven key issues for future efforts at professionalizing mentoring. Key issues 1 and 2 address observation of the state of the art within formal mentoring when programs are planned and implemented: the consideration of recent research and of best practices. While both areas can overlap, they provide complementary sources of pertinent information for the professionalization of mentoring. Key issues 3–6 address the need to align mentoring activities to the specific context and goals of individual mentoring programs by observing idiographic program characteristics, mentoring dynamics, the orchestration of mentoring goals, and the provision of mentoring resources. Finally, key issue 7 highlights ongoing evaluation as the basis of the effective, continuous improvement of mentoring programs.
Article
Full-text available
This study examines three potential contributions (i.e., additive only, hierarchical compensatory, and hierarchical conditional) of mentor support to youth academic adjustment, taking into account interactions with support from mothers and teachers. We derived data from a larger study of the Big Brothers Big Sisters (BBBS) of Canada community mentoring program. The sample included 427 youth (average age 9.8 years; 64% girls, 56% White) who received one-to-one community-based mentoring for at least three months. We assessed perceptions of support from mothers and teachers before the match and assessed perceptions of support from mentors five times throughout the mentoring experience. Hierarchical linear regression analyses showed that mentor support predicted positive changes in youth academic adjustment (i.e., school attitude, academic self-efficacy, assistance seeking, and problem solving) mainly when mentees already reported high support from their mother. This finding clearly supports the conditional model and invites researchers to question the assumption that mentoring constitutes a corrective experience for young people (i.e., the compensatory model). BBBS agencies are strongly encouraged to involve parents in the mentoring process and to view them as experts, assets, and allies in their effort to meet the youth’s needs.
Article
Full-text available
The purpose of this study is to investigate the association between self-efficacy and maintenance of interest in science, technology, engineering, and mathematics (STEM) resulting in completion of an undergraduate degree in a science related area. To pursue this analysis, the researchers surveyed 3,510 graduates from selective specialized science high schools within the United States as well as 603 same age participants in Talent Search programs who did not graduate from a specialized science high school. Using binary logistic regression analysis, the researchers identified individual-level variables associated with the decision by both groups of high-ability adolescents to earn an undergraduate degree in STEM. These variables include self-efficacy and stability of interest in science, mathematics, and/or technology, and suggest that both specialized science high schools and Talent Search programs both serve equally well as incubators of talent for adolescents with a proclivity for STEM related disciplines.
Article
Full-text available
This article presents a social cognitive framework for understanding three intricately linked aspects of career development: (a) the formation and elaboration of career-relevant interests, (b) selection of academic and career choice options, and (c) performance and persistence in educational and occupational pursuits. The framework, derived primarily from Bandura's (1986) general social cognitive theory, emphasizes the means by which individuals exercise personal agency in the career development process, as well as extra-personal factors that enhance or constrain agency. In particular, we focus on self-efficacy, expected outcome, and goal mechanisms and how they may interrelate with other person (e.g., gender), contextual (e.g., support system), and experiential/learning factors. Twelve sets of propositions are offered to organize existing findings and guide future research on the theory. We also present a meta-analysis of relevant findings and suggest specific directions for future empirical and theory-extension activity.
Article
Full-text available
Three studies tested a stereotype inoculation model, which proposed that contact with same-sex experts (advanced peers, professionals, professors) in academic environments involving science, technology, engineering, and mathematics (STEM) enhances women's self-concept in STEM, attitudes toward STEM, and motivation to pursue STEM careers. Two cross-sectional controlled experiments and 1 longitudinal naturalistic study in a calculus class revealed that exposure to female STEM experts promoted positive implicit attitudes and stronger implicit identification with STEM (Studies 1-3), greater self-efficacy in STEM (Study 3), and more effort on STEM tests (Study 1). Studies 2 and 3 suggested that the benefit of seeing same-sex experts is driven by greater subjective identification and connectedness with these individuals, which in turn predicts enhanced self-efficacy, domain identification, and commitment to pursue STEM careers. Importantly, women's own self-concept benefited from contact with female experts even though negative stereotypes about their gender and STEM remained active.
Mentoring relationships and social support
  • M Barrera
  • D D Bonds
Barrera, M., & Bonds, D. D. (2005). Mentoring relationships and social support. In D. L. DuBois & M. J. Karcher (Eds.), Handbook of youth mentoring (pp. 133-142). Thousand Oaks, California: SAGE Publications.
What are the value-added contributions of selective secondary schools of mathematics, science and technology? -Preliminary analyses from a U.S. national research study
  • R F Subotnik
  • R H Tai
  • J Almarode
  • E Crowe
Subotnik, R. F., Tai, R. H., Almarode, J., & Crowe, E. (2013). What are the value-added contributions of selective secondary schools of mathematics, science and technology? -Preliminary analyses from a U.S. national research study. Talent Development & Excellence, 5, 87-97.